Description
Title:Senior Product Manager
Location: Irving, TX
Duration: 25 W
Work Engagement: W2
Work Schedule: Hybrid 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Product Management. Review and analyze complex multi-faceted, larger scale or longer-term Product Management challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: Product Management experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Key Requirements:
- Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
Product Management Fundamentals
- End-to-end ownership — demonstrated track record of taking a product from idea to launch and through multiple iterations.
- Customer obsession — deep empathy for end users and a habit of grounding decisions in user evidence.
- Prioritization — ability to say no thoughtfully and focus a team on the highest-leverage work.
- Strategic thinking — able to zoom out to vision and zoom in to release-level decisions fluidly.
- Written communication — writes crisp PRDs, narratives, and decision documents that scale across the org.
AI & Technical Fluency
- LLM literacy — understands modern foundation models, their capabilities, limitations, and failure modes.
- Prompt and evaluation design — can shape prompts, define evaluation rubrics, and reason about model quality trade-offs.
- AI UX patterns — fluent in modern AI interaction patterns: chat, agents, copilots, structured outputs, tool use, and human-in-the-loop.
- Engineering partnership — can read system designs, ask sharp technical questions, and credibly partner with engineers.
- Responsible AI — understands risk surfaces: hallucination, bias, privacy, security, and over-reliance.
User Experience & Design Sense
- Design partnership — collaborates as a peer with designers on flows, prototypes, and interaction details.
- Quality bar — holds a high bar for craft, polish, and user-perceived quality.
- Accessibility & inclusion — considers a broad range of users in design decisions.
Data & Analytics
- SQL or equivalent — can pull and explore product data without depending on others.
- Experimentation — designs and interprets A/B tests, offline evaluations, and structured pilots.
- Metrics design — defines input, output, and guardrail metrics that drive the right behavior.
Leadership & Communication
- Executive communication — tailors message and depth for the audience, from working groups to senior leaders.
- Influence without authority — drives alignment across partner teams and functions.
- Bias to action — moves with urgency while maintaining quality and judgment.
Ownership mindset — treats outcomes — not output — as the measure of success